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Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li
| Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 120 p. 63 illus., 50 illus. in color.) |
| Disciplina | 616.730754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Computers Education—Data processing Application software Image Processing and Computer Vision Machine Learning Information Systems and Communication Service Computers and Education Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-39752-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regular Papers -- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks -- Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline -- Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures -- Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape -- Semi-supervised semantic segmentation of multiple lumbosacral structures on CT -- AASCE Challenge -- Accurate Automated Keypoint Detections for Spinal Curvature Estimation -- Seg4Reg Networks for Automated Spinal Curvature Estimation -- Automatic Spine Curvature Estimation by a Top-down Approach -- Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression -- Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks -- Automated Spinal Curvature Assessment from X-Ray Images using Landmarks Estimation Network via Rotation Proposals -- A coarse-to-fine deep heatmap regression method for Adolescent Idiopathic Scoliosis Assessment -- Spinal Curve Guide Network(SCG-Net) for Accurate Automated Spinal Curvature Estimation -- A Multi-Task Learning Method for Direct Estimation of Spinal Curvature. |
| Record Nr. | UNISA-996418205603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li
| Computational Methods and Clinical Applications for Spine Imaging [[electronic resource] ] : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng, Shuo Li |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 120 p. 63 illus., 50 illus. in color.) |
| Disciplina | 616.730754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Computers Education—Data processing Application software Image Processing and Computer Vision Machine Learning Information Systems and Communication Service Computers and Education Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-39752-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Regular Papers -- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks -- Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline -- Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures -- Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape -- Semi-supervised semantic segmentation of multiple lumbosacral structures on CT -- AASCE Challenge -- Accurate Automated Keypoint Detections for Spinal Curvature Estimation -- Seg4Reg Networks for Automated Spinal Curvature Estimation -- Automatic Spine Curvature Estimation by a Top-down Approach -- Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression -- Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks -- Automated Spinal Curvature Assessment from X-Ray Images using Landmarks Estimation Network via Rotation Proposals -- A coarse-to-fine deep heatmap regression method for Adolescent Idiopathic Scoliosis Assessment -- Spinal Curve Guide Network(SCG-Net) for Accurate Automated Spinal Curvature Estimation -- A Multi-Task Learning Method for Direct Estimation of Spinal Curvature. |
| Record Nr. | UNINA-9910373927703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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